Pretraining-Prompt-Finetuning Heterogeneous Graph Neural Network (PPF-HGNN)

A machine learning framework using heterogeneous graph neural networks (HGNNs) and pretraining-prompt-finetuning to predict associations between Chemicals, Diseases, and Genes (CDG). It is designed to enhance drug discovery by capturing cross-task biomedical semantics.